Vice President – Forward Deployed Engineer

Ameriprise Financial Services, LLC

. Serve as a trusted advisor to investment leaders, translating investment strategies, research priorities, and business challenges into AI-enabled solutions .

Posted 9/23/2026full-timeUnited StatesLead💰 $242,100 - $332,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-enabled solutions for investment management, with a strong focus on building and deploying LLM integrated applications and ensuring compliance with regulatory standards. Proven ability to partner across teams to drive innovation and deliver measurable outcomes in a secure environment.

Highest-signal resume keywords

AI-Enabled SolutionsPython DevelopmentLLM Integrated ApplicationsCloud InfrastructureInvestment Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAdvanced AnalyticsAPI IntegrationPrompt EngineeringCI/CDVersion ControlRAG/EmbeddingsProduction-Quality CodeQuantitative ResearchInvestment Strategy

Soft Skills

Trusted AdvisorInfluencingCollaborationProblem SolvingCommunication

Tools & Technologies

LangChainLangGraphLlamaIndexVector DatabasesMCP

Certifications & Qualifications

CFAFRM

Industry Keywords

Investment ManagementRegulatory ComplianceTrading DesksPortfolio ManagementAsset Class

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Serve as a trusted advisor to investment leaders, translating investment strategies, research priorities, and business challenges into AI-enabled solutions
Design and deliver proof-of-concept and production-ready AI capabilities using advanced analytics, machine learning, and LLM technologies
Partner across Investments, Technology, Data, Risk, and Compliance to meet standards for security, governance, scalability, and regulatory compliance
Influence the AI and investment technology roadmap by identifying high-value opportunities and evaluating emerging capabilities
Promote adoption of innovative solutions across the investment organization
Lead the transition of successful prototypes into sustainable enterprise capabilities
Partner with engineering and platform teams to scale solutions and realize long-term business value

Requirements

What you’ll need

10+ years of combined experience across investment management, quantitative research/strategy, and hands-on software or AI engineering
Demonstrated success taking investment problems from concept to working solution
Direct experience working alongside trading desks, portfolio managers, or investment researchers
Hands-on experience building and shipping LLM enabled/integrated applications, including RAG/embeddings, agentic workflows, prompt engineering, and API integration
Strong Python development skills producing production-quality code
Expertise with cloud infrastructure and modern software practices, including CI/CD, version control, and API design
Fluency in at least one asset class: equities, fixed income, multi-asset, or macro
Track record of delivering secure, auditable AI solutions in a regulated environment
Valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States
Preferred: familiarity with LangChain, LangGraph, LlamaIndex, MCP, and vector databases
Preferred: experience building internal copilots, research assistants, or document-intelligence tools
Preferred: CFA, FRM, or equivalent investment credential
Preferred: track record of shipping AI or analytics solutions with measurable outcomes

Benefits

Comp & perks

Variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role
Vacation time
Sick time
401(k)
Health insurance
Dental insurance
Life insurance
Flexibility to work from home one (1) day per week